A federated design system governance model

WHAT THIS TESTS The interviewer wants you to resolve a real scaling tension: the core team is the bottleneck, but quality and consistency must hold. The federated model is the canonical answer, and they want to see you apply it concretely.

A GOOD ANSWER COVERS In a federated model, contribution is distributed while standards stay central. The requesting product team becomes the builder and ongoing maintainer of the new component. They are granted contributor status and work inside the design system repository, using its design tokens, naming conventions, testing setup, and documentation format, so the component looks and behaves like a first-class part of the system. The core team changes role from builder to enabler and steward: it defines the standards and a contribution checklist, provides the toolkit such as the component template, lint rules, token library, and CI, and acts as the gate at merge time, reviewing against accessibility, API and naming consistency, token usage, test coverage including visual regression, and documentation. Ownership and on-call for that component sit with the contributing team, but the core team retains authority over the platform, tokens, and final merge to preserve coherence. Decisions and ownership are documented.

COMMON WRONG ANSWERS Letting the team ship anywhere with no standards produces an inconsistent, unaccessible component. Keeping it fully centralized ignores the stated bandwidth problem. Handing over ownership with no review removes the consistency guardrail. Failing to assign ongoing maintenance means the component rots after launch.

LIKELY FOLLOW-UPS How does federated differ from centralized and fully distributed models? Who owns bugs after launch? How do you prevent token or API drift across many contributors? When should a federated component be promoted to core ownership? How do you handle a contributing team that abandons its component?

ONE CONCRETE EXAMPLE A team needs a complex DataGrid the core team cannot build. Under federation, that team builds it in the system repo using shared tokens and the component template, follows the testing and docs standards, and remains its maintainer. The core team reviews each pull request against the checklist and owns the tokens and CI, so the DataGrid ships consistent with the system while the bottleneck is avoided.